neuromem, - general vision inc. · 2019-08-12 · neuromem, digital neuromorphic chip adaptive,...
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NeuroMem,digital neuromorphic chip
Adaptive,
Responsible,
Explainable AI
GENERAL VISION INC. 1
NeuroMem chips,for the 3rd Wave of AI
• Pattern recognition accelerator
• Adaptive incremental learning
• Traceability
• Learned patterns reside in chip (privacy and accountability)
• Scalability
• Low Cost
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No feature extractionsNumerous layers of NNSeparation between learning and inference Black box engineCompute intensive hardware
PreprocessingSegmentationMorphology transformationsComplex and specific featuresFinal classification
NeuroMem NN, a fine balance
GENERAL VISION INC. 2
Between Shallow Learning… … and Deep Learning
Simple feature extractionsIntrinsic Learning + Recognition (RBF & KNN)
Learn from few examples, not data basesDeterministic latenciesKnowledge traceability
Low-power scalable architectureChip and IP on the shelf
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GENERAL VISION INC. 3
AerospaceAutomotive
Consumer electronicsEnvironment
HealthcareIndustrial
Other
Across many industries
Video & Image analyticsSignal and audio
analyticsScientific analytics
Text & packet analytics
Numerous applications
Machine learningEdge Intelligence
Data AnalyticsPredictive maintenance
Failure analysisNovelty detection
Technology in demand
Wide Range of Applications
CognitiveStorage
CognitiveNetwork
CognitiveSensors
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NeuroMem IP instantiation
4
• NeuroMem® IP for ASIC• NeuroMem® IP for FPGA• NeuroMem IP cycle accurate simulation
Intellectual Property
Silicon proven with multiple licenses and tape-outs
GENERAL VISION INC.
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Simple IOs to a NeuroMem NN
GENERAL VISION INC. 5
Recognize = Read Categories & Distances
Teach = Write category
Knowledge
Action
BroadcastPatterns/Stimuli
Save/LoadText (1D)
Signal (1D)
Image (2D)
Supervised or unsupervised
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FE=Feature Extraction
Use Models
GENERAL VISION INC. 6
Images
Videos
Voice
Signal
Text
FElib
Classification
Anomaly detection
Novelty detection
Clustering
Template matching
Tracking
Identification
NeuroMem®
Data
Categories
Confidence
Stimuli Queries
Identifiers
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System Deployment
GENERAL VISION INC. 7
WIFI/BLE, SPI/I2C,USB, etc.
Pattern Learning and Recognition Engine:
- Feature extractions,- Learning and
- Recognition logic, - Decision logic
Storagecontrollers
Sensor hubcontroller
DDR, Flash, SD card, etc.
CommandInterpreters
Outputcontroller
MPU and/or FPGA
CMOS,Audio,
IMU, etc.
HDMI,Speaker,
LEDs, etc.
NeuroMemNetwork(s)
Typical NeuroMem Smart system architecture
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Application Deployment
GENERAL VISION INC. 8
Data collection
Data annotation
Feature selections Decision space
mapping
Deploy project
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From a classifier to multi-experts system
GENERAL VISION INC. 9
Find license plates using multiple features
Decode symbols & characters
Match owner
Category, Confidence
Single expert or NN
Combinatorial experts or NNs
A Classifierfor DL/CNNs
Subsampling of the fish
Accept, Reject, Or Recycle
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Tools from General Vision
Development Kits◦ C/C++, C#, Python◦ MatLab, LabVIEW◦ ZYNQ
NeuroMem Knowledge Builder◦ Agnostic to data types◦ Output Knowledge and Dataset report
Image Knowledge Builder◦ Image files◦ Output Knowledge and Image report
GENERAL VISION INC. 10
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Customers’ Design Wins
Nepes Future AI Business Unit◦ NeuroShield, NeuroBrick, Brilliant, etc
NeuroTechnologijosNT Adaptive controller
QuickLogic QuickAI module
Cogito Instrument cROI module
Intel Quark SE◦ Curie module & Arduino/Genuino 101
GENERAL VISION INC. 11
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NeuroMem in the AI landscape
GENERAL VISION INC. 12
Artificial Intelligence
Numeric based Symbolic based
Machine Learning
Neural Networks
Deep Learning
Case-Based reasoning
Rule-based inference
Suitable when you have lots of data to train. “black boxes” that cannot explain how they arrive at their answers.
Reason through ambiguity and missing informationExplain how they arrived at their answersCan make changes to their knowledge base in real-time.
NeuroMem Networks range of action